Retrospective Study
Copyright ©The Author(s) 2015. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Aug 28, 2015; 21(32): 9614-9622
Published online Aug 28, 2015. doi: 10.3748/wjg.v21.i32.9614
Prognosis of acute-on-chronic liver failure patients treated with artificial liver support system
Pi-Qi Zhou, Shao-Ping Zheng, Min Yu, Sheng-Song He, Zhi-Hong Weng
Pi-Qi Zhou, Department of Integrated Traditional and Chinese Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, Hubei Province, China
Shao-Ping Zheng, Department of Ultrasonography, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, Hubei Province, China
Min Yu, Department of Internal Medicine, Wuhan Eleventh Hospital, Wuhan 430015, Hubei Province, China
Sheng-Song He, Zhi-Hong Weng, Department of Infectious Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, Hubei Province, China
Author contributions: Zhou PQ and Zheng SP contributed equally to this work; Weng ZH proposed the concept and designed the study; Zhou PQ and Yu M performed the study; Zheng SP and He SS analysed and interpreted the data; Zhou PQ and Zheng SP drafted the article and revised it critically for important intellectual content; and Weng ZH approved the paper to be submitted.
Supported by National Natural Science Foundation of China, No. 81201107; and Natural Science Foundation of Hubei Province of China, No. 2014CFB409.
Institutional review board statement: The study was reviewed and approved by the Institutional Review Board of Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China.
Informed consent statement: All study participants, or their legal guardian, provided informed written consent prior to study enrollment.
Conflict-of-interest statement: All authors have not declared any conflicts of interest.
Data sharing statement: Technical appendix, statistical code, and dataset available from the corresponding author at wzh941@126.com. Participants gave informed consent for data sharing.
Open-Access: This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Correspondence to: Zhi-Hong Weng, Associate Professor, Department of Infectious Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Avenue, Wuhan 430022, Hubei Province, China. wzh941@126.com
Telephone: +86-27-85726783 Fax: +86-27-85356369
Received: April 2, 2015
Peer-review started: April 4, 2015
First decision: April 23, 2015
Revised: May 21, 2015
Accepted: July 8, 2015
Article in press: July 8, 2015
Published online: August 28, 2015
Processing time: 147 Days and 17.3 Hours
Core Tip

Core tip: Liver failure has a high mortality. The current prognostic model to estimate the survival in acute-on-chronic liver failure (ACLF) patients treated with an artificial liver support system (ALSS) is not fully characterized. The aim of this study was to establish a new scoring model and to test its ability to predict the survival of ACLF patients treated with ALSS. This prognostic model accurately differentiated the outcome of ACLF patients with different risk scores and also had the ability to assign a predicted survival probability for individual patients.